ScAle learns scalar coefficients to modulate last-token attention and MLP activations in frozen VLMs, achieving up to 134.1% relative accuracy gains on spatial benchmarks with only 1K parameters.
Effective moe-based llm compression by exploiting heterogeneous inter-group experts routing frequency and information density
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
PhyWorld improves temporal consistency and physical plausibility in video world models via flow matching fine-tuning followed by DPO on physics preference pairs, with reported gains on VBench and a custom physical-faithfulness benchmark.
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ScAle: Attention Head Scaling as a Minimal Adapter for Spatial Reasoning in Vision Language Models
ScAle learns scalar coefficients to modulate last-token attention and MLP activations in frozen VLMs, achieving up to 134.1% relative accuracy gains on spatial benchmarks with only 1K parameters.
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PhyWorld: Physics-Faithful World Model for Video Generation
PhyWorld improves temporal consistency and physical plausibility in video world models via flow matching fine-tuning followed by DPO on physics preference pairs, with reported gains on VBench and a custom physical-faithfulness benchmark.